Syed Ahmed Husaini

-Implemented Content-based Recommender system using semantic analysis (cosine and TF-IDF) -Integrate Customer Segmentation based on customer buying behavior to increase sales. -Using Optimization Techniques to adjust prices and offer deals to the customers. -Ongoing optimization of all logistical processes and implementation of changes in production, purchasing and sales. -Automate the logistic work, developed Android Application in Flutter and it's currently working in the warehouse.

- Price Optimization using Demand forecasting and Mixed Integer Programming. - Forecasting Models include ( Regressor Models , LSTM) - Optimize using Gurobi Optimizer and OR-tools (CP Model) - Also applied Deep Reinforcement Learning Approach (DQN)

Worked on O2O project for Daimler AG: I was responsible for the development of Recommendation engine of one existing vehicle configuration to recommend additional options to users based on Item similarity using Neural Networks.

My job is to create presentations into Latex and modify them according to given requirements.

Asp.net Developer and database developer ( Tools: Visual studio,SQL SERVER)

Major Courses: Machine Learning, Big Data Analytics, Business Analytics, Deep Learning, Distributed Data Analytics, Planning and Optimal Control